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    Sorting through the Data
    Meet Thomas McElrath, a insect collection manager at the Illinois Natural History Survey and beetle researcher. Tommy explains the value of data standards while discussing beetles and variations...
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    Mapping New Discoveries: iNaturalist and Biodiversity Data
    Meet Lauren Esposito, the Curator of Arachnology at the California Academy of Sciences. Learn how they use community science to inform new species discovery.
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    Maria vs Malaria
    This case study focuses on a specific enzyme Lactate Dehydrogenase (LDH) in the malarial parasite as a target for treating malaria.
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    Teaching Modules from QB@CC: Tools to Improve Biology Student’s Quantitative Skills
    NABT and QB@CC hosted a special webinar to explore the QB@CC OER entitled Sizes, Scales, and Specialization.
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    Human Population Growth and Greenhouse Gas Emissions
    Humans alter the climate by emitting greenhouse gases, by changing planetary albedo, and by altering atmospheric chemistry. Between 1900 and 2000, humans' emissions of carbon into the atmosphere...
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    Data Cards Sample Created From Lost Crops of Africa (NRC, 1996, 2006, 2008)
    This resource provides a sample of the data cards that have been used in conference presentations, trainings, and science methods courses over the years. This resource provides supplemental data...
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    Vaccine Development and Testing
    Scientists have the tools and knowledge to develop safe, effective vaccines, from trials to vials. This resource addresses the process by which vaccines are designed, tested and regulated. Key...
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    Immunity and Vaccine Action
    From the cellular level on up, being aware of your interactions can help you stay safe. This resource addresses fundamental immunology and infectious disease concepts through a historical...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    The Power and Limits of Science
    This part focuses on the power and limits of science
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    The Language of Science
    This part focuses on the language of science
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    The Process of Science
    These slides give an overview of the process of science in the context of the COVID-19 pandemic.
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    2017-Gilbert-Lewis-Harvesting of renewable natural resource
    This is a resource to accompany a commercial text book and has a tutorial nature with some analysis and several good exercises
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    2015-The European Bioinformatics Institute-BioModels Database
    BioModels Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references.
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    2015-Carl_Lutzer-Using Expected Value to Introduce the Laplace Transform
    We propose an introduction to the Laplace transform in which Riemann sums are used to approximate the expected net change in a function, assuming that it quantifies a process that can terminate at...
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